Nasim Rahaman

786 total citations
7 papers, 117 citations indexed

About

Nasim Rahaman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Nasim Rahaman has authored 7 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Nasim Rahaman's work include Neural Networks and Applications (2 papers), Model Reduction and Neural Networks (2 papers) and Neural dynamics and brain function (1 paper). Nasim Rahaman is often cited by papers focused on Neural Networks and Applications (2 papers), Model Reduction and Neural Networks (2 papers) and Neural dynamics and brain function (1 paper). Nasim Rahaman collaborates with scholars based in Germany, Canada and United Kingdom. Nasim Rahaman's co-authors include Fred A. Hamprecht, Aaron Courville, Devansh Arpit, Yoshua Bengio, Aristide Baratin, Min Lin, Felix Draxler, Ullrich Köthe, Constantin Pape and Anna Kreshuk and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Nasim Rahaman

7 papers receiving 112 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nasim Rahaman Germany	5	46	35	25	20	12	7	117
Jeffrey De Fauw United States	2	63 1.4×	47 1.3×	10 0.4×	9 0.5×	5 0.4×	3	102
Joern-Henrik Jacobsen Canada	6	52 1.1×	87 2.5×	20 0.8×	5 0.3×	2 0.2×	7	110
Felix Draxler Germany	3	40 0.9×	34 1.0×	25 1.0×	19 0.9×	1 0.1×	3	81
Kartik Sharma India	7	19 0.4×	64 1.8×	16 0.6×	3 0.1×	6 0.5×	34	168
Amir Gholami United States	4	21 0.5×	39 1.1×	8 0.3×	9 0.5×	5 0.4×	4	115
Charles Gueunet France	3	85 1.8×	15 0.4×	5 0.2×	8 0.4×	33 2.8×	3	144
Shubhendu Trivedi United States	5	24 0.5×	46 1.3×	8 0.3×	5 0.3×		11	106
Tegan Emerson United States	5	21 0.5×	10 0.3×	4 0.2×	6 0.3×	5 0.4×	21	62
M. Żejmo Poland	6	31 0.7×	40 1.1×	2 0.1×	5 0.3×	18 1.5×	7	123
Dave Benson United Kingdom	10	20 0.4×	15 0.4×	32 1.3×	7 0.3×		28	336

Countries citing papers authored by Nasim Rahaman

Since Specialization

Citations

This map shows the geographic impact of Nasim Rahaman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nasim Rahaman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nasim Rahaman more than expected).

Fields of papers citing papers by Nasim Rahaman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nasim Rahaman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nasim Rahaman. The network helps show where Nasim Rahaman may publish in the future.

Co-authorship network of co-authors of Nasim Rahaman

This figure shows the co-authorship network connecting the top 25 collaborators of Nasim Rahaman. A scholar is included among the top collaborators of Nasim Rahaman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nasim Rahaman. Nasim Rahaman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Reichstein, Markus, Gustau Camps‐Valls, Felix Creutzig, et al.. (2025). Early warning of complex climate risk with integrated artificial intelligence. Nature Communications. 16(1). 2564–2564. 14 indexed citations

2.

Maharaj, Tegan, Nasim Rahaman, Hannah Alsdurf, et al.. (2023). Proactive Contact Tracing. SHILAP Revista de lepidopterología. 2(3). e0000199–e0000199. 7 indexed citations

3.

Rahaman, Nasim, Anirudh Goyal, Manuel Wüthrich, et al.. (2021). Spatially Structured Recurrent Modules. 1 indexed citations

4.

Rahaman, Nasim, et al.. (2020). Learning the Arrow of Time for Problems in Reinforcement Learning. International Conference on Learning Representations. 2 indexed citations

5.

Wolf, Steffen, Alberto Bailoni, Constantin Pape, et al.. (2020). The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(10). 3724–3738. 25 indexed citations

6.

Rahaman, Nasim, Devansh Arpit, Aristide Baratin, et al.. (2018). On the Spectral Bias of Deep Neural Networks. arXiv (Cornell University). 18 indexed citations

7.

Rahaman, Nasim, Aristide Baratin, Devansh Arpit, et al.. (2018). On the Spectral Bias of Neural Networks. arXiv (Cornell University). 5301–5310. 50 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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