Rejected MICCAI paper: workshop -> journal/conference or directly journal/conference [R]
Our take
The frustration expressed by /u/KingPowa in their Reddit post resonates deeply with many researchers, particularly those early in their careers. Facing a rejection from a prestigious venue like MICCAI, especially after a reviewer acknowledged the work’s novelty, can be disheartening. Their query about the optimal publication strategy – workshop versus direct journal submission – highlights a common dilemma: balancing the desire for rapid dissemination with the need for thoroughness and impact. The core of their concern lies in optimizing for visibility and impact while navigating the realities of research, especially given their departure from a formal PhD program and their commitment to independent research. It's a pragmatic question driven by a desire to efficiently contribute to the field. Considering the current landscape, where the sheer scale of some research papers is becoming a significant hurdle, as explored in [Are all LLM research papers nowadays 100+ pages beasts?[D]], the user’s concern about experiment time and model size is particularly pertinent. The trend towards increasingly massive models and datasets necessitates careful consideration of computational resources and the overall feasibility of reproducing results.
The workshop-then-journal route, while traditionally favored, isn’t always the most efficient path. While workshops offer quicker feedback and a chance to refine the work, the stigma surrounding them as “lesser” publications is, frankly, outdated. The value of a workshop hinges on its quality and relevance to the research topic. A strong workshop, particularly one like MLCN/iMIMIC, can provide invaluable targeted feedback and potentially attract attention from researchers who might not attend larger conferences. However, as the user correctly suspects, there's a perception of diminished impact associated with workshops, especially when aiming for a journal publication. The change in process for EACL 2027 [EACL 2027: Author response and author-reviewer discussion are now two separate stages and allow more time [D]] also demonstrates a shift towards more considered review processes, potentially making direct journal submission a more viable option. The key takeaway here is that the optimal strategy should be driven by the research itself, not by outdated conventions.
Given /u/KingPowa's situation – an independent researcher without the pressure of a PhD timeline – a direct submission to a journal seems like a strategically sound approach, especially if they are prepared to invest the time to address the reviewer’s concerns and potentially streamline their experiments. The reviewer’s positive comment about the work's novelty is a significant encouragement and suggests the research has merit. Focusing on strengthening the core contribution and ensuring reproducibility should be the priority. This approach aligns with the broader trend in the field toward emphasizing methodological rigor and the ability to validate findings, a point underscored by the challenges surrounding loss functions outlined in [Loss functions in Instance Representation Learning [R]]. Independent researchers often have the luxury of focusing on long-term impact over short-term gains, and a well-prepared journal submission can deliver that impact.
Ultimately, /u/KingPowa’s situation underscores a valuable point about the evolving nature of academic publishing. The traditional hierarchy of conferences and journals is becoming more fluid, and the importance of impactful research transcends publication venue. The question becomes: How can researchers, particularly those operating outside traditional academic structures, effectively navigate this evolving landscape and ensure their work reaches the intended audience and contributes meaningfully to the field? It's a question worth watching, especially as alternative publication models and open science practices gain traction.
Premise: this work is my first year PhD, and I dropped out for personal reasons. I still want to do research but independently.
I have tried to submit my explainability paper to MICCAI. Sadly, for doubtful/good reasons, it got rejected.
Among the reviewers, one explicitly suggested to make it stronger and that the work is "novel".
I was wondering if a good strategy would be to work on it more (maybe improving also the time it takes for doing experiments, since currently it's a way too big model) and then submitting it to a journal, or first submitting to a workshop and then extend the research for a journal publication.
Strategically wise, is it good to first workshop and then journal? MLCN/iMIMIC would be my choices. But I hear a lot about workshop being suboptimal. Given I am not currently optimising for a PhD, does it make sense to go for the long run and publish it as a journal paper/another conference?
Thank you in advance.
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