Emmanuel Abbé

4.2k total citations
83 papers, 1.4k citations indexed

About

Emmanuel Abbé is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Emmanuel Abbé has authored 83 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Networks and Communications, 27 papers in Electrical and Electronic Engineering and 25 papers in Artificial Intelligence. Recurrent topics in Emmanuel Abbé's work include Error Correcting Code Techniques (29 papers), Advanced Wireless Communication Techniques (15 papers) and DNA and Biological Computing (14 papers). Emmanuel Abbé is often cited by papers focused on Error Correcting Code Techniques (29 papers), Advanced Wireless Communication Techniques (15 papers) and DNA and Biological Computing (14 papers). Emmanuel Abbé collaborates with scholars based in United States, Switzerland and Israel. Emmanuel Abbé's co-authors include Colin Sandon, Min Ye, Emre Telatar, Andrea Montanari, Amir Shpilka, Lizhong Zheng, Jianqing Fan, Kaizheng Wang, Yiqiao Zhong and Yash Deshpande and has published in prestigious journals such as IEEE Transactions on Information Theory, European Heart Journal and The Annals of Statistics.

In The Last Decade

Emmanuel Abbé

76 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emmanuel Abbé United States	18	531	496	347	330	213	83	1.4k
Anand D. Sarwate United States	22	1.3k 2.5×	948 1.9×	490 1.4×	89 0.3×	127 0.6×	119	2.5k
Aarti Singh United States	18	436 0.8×	225 0.5×	54 0.2×	107 0.3×	107 0.5×	66	947
Yihong Wu United States	25	666 1.3×	476 1.0×	462 1.3×	261 0.8×	470 2.2×	84	1.9k
Stéphane Boucheron France	12	785 1.5×	192 0.4×	153 0.4×	113 0.3×	565 2.7×	22	1.7k
Praneeth Netrapalli United States	15	364 0.7×	112 0.2×	101 0.3×	143 0.4×	80 0.4×	44	1.1k
Leonard J. Schulman United States	26	1.1k 2.0×	504 1.0×	351 1.0×	158 0.5×	114 0.5×	102	2.2k
Maxim Raginsky United States	23	629 1.2×	302 0.6×	253 0.7×	91 0.3×	98 0.5×	96	1.8k
Ioannis Kontoyiannis United States	21	620 1.2×	272 0.5×	327 0.9×	177 0.5×	314 1.5×	102	1.5k
Shuheng Zhou United States	13	372 0.7×	143 0.3×	56 0.2×	30 0.1×	263 1.2×	41	852

Countries citing papers authored by Emmanuel Abbé

Since Specialization

Citations

This map shows the geographic impact of Emmanuel Abbé'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 Emmanuel Abbé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Abbé more than expected).

Fields of papers citing papers by Emmanuel Abbé

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emmanuel Abbé. 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 Emmanuel Abbé. The network helps show where Emmanuel Abbé may publish in the future.

Co-authorship network of co-authors of Emmanuel Abbé

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel Abbé. A scholar is included among the top collaborators of Emmanuel Abbé 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 Emmanuel Abbé. Emmanuel Abbé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mahendiran, Thabo, Dorina Thanou, Bernard De Bruyne, et al.. (2024). AngioPy Segmentation: An open-source, user-guided deep learning tool for coronary artery segmentation. International Journal of Cardiology. 418. 132598–132598. 2 indexed citations

Sun, Xiaowu, Emmanuel Abbé, Pascal Frossard, et al.. (2024). Graph Neural Network based Future Clinical Events Prediction from Invasive Coronary Angiography. 1–5.

Müller, Olivier, et al.. (2024). Gender Bias in AI's Perception of Cardiovascular Risk. Journal of Medical Internet Research. 26. e54242–e54242. 3 indexed citations

Mahendiran, Thabo, David Nanchen, Stéphane Fournier, et al.. (2024). Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction. IEEE Open Journal of Engineering in Medicine and Biology. 5. 837–845. 2 indexed citations

Meier, David, Ioannis Skalidis, David C. Rotzinger, et al.. (2024). Assessing the need for coronary angiography in high-risk non-ST-elevation acute coronary syndrome patients using artificial intelligence and computed tomography. The International Journal of Cardiovascular Imaging. 41(1). 55–61. 2 indexed citations

Meier, David, Ioannis Skalidis, David C. Rotzinger, et al.. (2024). Assessing the need for coronary angiography in high-risk acute coronary syndrome patients using artificial intelligence and computed tomography. European Heart Journal. 45(Supplement_1).

Abbé, Emmanuel, et al.. (2023). Wireless Network Optimization by Perron-Frobenius Theory. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 20(1-2). 1–156. 9 indexed citations

Skalidis, Ioannis, et al.. (2023). ChatGPT takes on the European Exam in Core Cardiology: an artificial intelligence success story?. European Heart Journal - Digital Health. 4(3). 279–281. 84 indexed citations

Abbé, Emmanuel, et al.. (2021). Polarization in Attraction-Repulsion Models. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations

10.

Abbé, Emmanuel, Amir Shpilka, & Min Ye. (2020). Reed–Muller Codes: Theory and Algorithms. IEEE Transactions on Information Theory. 67(6). 3251–3277. 43 indexed citations

11.

Abbé, Emmanuel, et al.. (2020). Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks. Journal of Machine Learning Research. 21(139). 1–32. 15 indexed citations

12.

Abbé, Emmanuel & Colin Sandon. (2020). On the universality of deep learning. Neural Information Processing Systems. 33. 20061–20072. 1 indexed citations

13.

Abbé, Emmanuel, Jianqing Fan, Kaizheng Wang, & Yiqiao Zhong. (2020). Entrywise eigenvector analysis of random matrices with low expected rank. The Annals of Statistics. 48(3). 1452–1474. 84 indexed citations

14.

Ye, Min & Emmanuel Abbé. (2019). Recursive projection-aggregation decoding of Reed-Muller codes. 2064–2068. 9 indexed citations

15.

Abbé, Emmanuel, et al.. (2018). Group synchronization on grids. 1(3). 227–256. 8 indexed citations

16.

Ye, Min & Emmanuel Abbé. (2018). Communication-Computation Efficient Gradient Coding. International Conference on Machine Learning. 5610–5619. 47 indexed citations

17.

Abbé, Emmanuel. (2018). Community Detection and Stochastic Block Models. 14(1-2). 1–162. 28 indexed citations

18.

Abbé, Emmanuel & Andrea Montanari. (2015). . Theory of Computing. 11(1). 413–443. 13 indexed citations

19.

Abbé, Emmanuel & Emre Telatar. (2010). Polar Codes for the m-User MAC and Matroids. arXiv (Cornell University). 1 indexed citations

20.

Abbé, Emmanuel, Emre Telatar, & Lizhong Zheng. (2005). The algebra of MIMO channels. 317–326. 6 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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