Mark Eisen

1.6k total citations
52 papers, 1.0k citations indexed

About

Mark Eisen is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Mark Eisen has authored 52 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 23 papers in Electrical and Electronic Engineering and 9 papers in Control and Systems Engineering. Recurrent topics in Mark Eisen's work include Advanced MIMO Systems Optimization (11 papers), Wireless Networks and Protocols (9 papers) and Energy Harvesting in Wireless Networks (8 papers). Mark Eisen is often cited by papers focused on Advanced MIMO Systems Optimization (11 papers), Wireless Networks and Protocols (9 papers) and Energy Harvesting in Wireless Networks (8 papers). Mark Eisen collaborates with scholars based in United States, United Kingdom and India. Mark Eisen's co-authors include Alejandro Ribeiro, Aryan Mokhtari, Daniel D. Lee, Clark Zhang, Luiz F. O. Chamon, Santiago Segarra, Zhiyang Wang, Navid Naderializadeh, Gabriel Egan and Konstantinos Gatsis and has published in prestigious journals such as Technometrics, Management Science and IEEE Transactions on Signal Processing.

In The Last Decade

Mark Eisen

50 papers receiving 973 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Eisen United States 16 495 475 314 68 65 52 1.0k
Osamu Muta Japan 19 856 1.7× 589 1.2× 159 0.5× 74 1.1× 39 0.6× 168 1.2k
Ryan W. Thomas United States 14 696 1.4× 1.1k 2.4× 168 0.5× 86 1.3× 29 0.4× 33 1.4k
Hung Nguyen Australia 14 624 1.3× 1.5k 3.1× 287 0.9× 76 1.1× 61 0.9× 60 1.8k
Nikolaos M. Freris China 17 196 0.4× 432 0.9× 195 0.6× 134 2.0× 61 0.9× 65 769
Alexandros Fragkiadakis Greece 13 559 1.1× 768 1.6× 137 0.4× 40 0.6× 61 0.9× 38 934
K J R Liu United States 12 996 2.0× 1.3k 2.8× 112 0.4× 58 0.9× 98 1.5× 15 1.8k
Pratik K. Biswas United States 11 681 1.4× 557 1.2× 197 0.6× 56 0.8× 183 2.8× 31 1.1k
Nianmin Yao China 17 617 1.2× 603 1.3× 295 0.9× 26 0.4× 26 0.4× 98 1.3k
Xiaolong Yang China 16 268 0.5× 418 0.9× 288 0.9× 34 0.5× 20 0.3× 112 828
Keith Nolan Ireland 13 726 1.5× 834 1.8× 251 0.8× 19 0.3× 85 1.3× 26 1.2k

Countries citing papers authored by Mark Eisen

Since Specialization
Citations

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

Fields of papers citing papers by Mark Eisen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Eisen

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

All Works

20 of 20 papers shown
1.
Eisen, Mark, et al.. (2024). Model-Free Dynamic Traffic Steering for Multi-Link Operation in IEEE 802.11be. 44–49. 1 indexed citations
2.
Roy, Debashri, et al.. (2023). L-NORM: Learning and Network Orchestration at the Edge for Robot Connectivity and Mobility in Factory Floor Environments. IEEE Transactions on Mobile Computing. 23(4). 2898–2914. 6 indexed citations
3.
Egan, Gabriel, Mark Eisen, Alejandro Ribeiro, & Santiago Segarra. (2023). “I would I had that corporal soundness”: Pervez Rizvi's Analysis of the Word Adjacency Network Method of Authorship Attribution. Digital Scholarship in the Humanities. 38(4). 1494–1507.
4.
Wang, Zhiyang, Luana Ruiz, Mark Eisen, & Alejandro Ribeiro. (2022). Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8912–8916. 6 indexed citations
5.
Wang, Zhiyang, Mark Eisen, & Alejandro Ribeiro. (2021). Unsupervised Learning for Asynchronous Resource Allocation In Ad-Hoc Wireless Networks. 8143–8147. 17 indexed citations
6.
Gao, Zhan, Mark Eisen, & Alejandro Ribeiro. (2021). Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications. IEEE Transactions on Communications. 70(2). 920–934. 10 indexed citations
7.
Eisen, Mark & Alejandro Ribeiro. (2020). Transferable Policies for Large Scale Wireless Networks with Graph Neural Networks. 5040–5044. 4 indexed citations
8.
Eisen, Mark, et al.. (2020). Learning Constrained Resource Allocation Policies in Wireless Control Systems. 2615–2621. 4 indexed citations
9.
Wang, Zhiyang, Mark Eisen, & Alejandro Ribeiro. (2020). Decentralized Wireless Resource Allocation with Graph Neural Networks. 299–303. 5 indexed citations
10.
Eisen, Mark, Mohammad Mamunur Rashid, Konstantinos Gatsis, et al.. (2019). Control Aware Communication Design for Time Sensitive Wireless Systems. 4584–4588. 5 indexed citations
11.
Gao, Zhan, Mark Eisen, & Alejandro Ribeiro. (2019). Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems. 1–6. 7 indexed citations
12.
Eisen, Mark, Konstantinos Gatsis, George J. Pappas, & Alejandro Ribeiro. (2018). Learning in Non-Stationary Wireless Control Systems via Newton's Method. 1410–1417. 5 indexed citations
13.
Eisen, Mark, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, & Alejandro Ribeiro. (2018). Online Deep Learning in Wireless Communication Systems. 2018 52nd Asilomar Conference on Signals, Systems, and Computers. 1289–1293. 5 indexed citations
14.
Egan, Gabriel, Santiago Segarra, Mark Eisen, & Alejandro Ribeiro. (2017). Stylometric analysis of Early Modern English plays. DMU Open Research Archive (De Montfort University). 17 indexed citations
15.
Eisen, Mark, Aryan Mokhtari, & Alejandro Ribeiro. (2017). A primal-dual Quasi-Newton method for consensus optimization. 298–302. 1 indexed citations
16.
Mokhtari, Aryan, Mark Eisen, & Alejandro Ribeiro. (2017). An incremental quasi-Newton method with a local superlinear convergence rate. 7. 4039–4043. 3 indexed citations
17.
Eisen, Mark, Aryan Mokhtari, & Alejandro Ribeiro. (2016). An asynchronous Quasi-Newton method for consensus optimization. 54. 570–574. 2 indexed citations
18.
Segarra, Santiago, Mark Eisen, & Alejandro Ribeiro. (2013). Authorship attribution using function words adjacency networks. 37. 5563–5567. 19 indexed citations
19.
Davidson, Jonathan, Hagen Rampes, Mark Eisen, et al.. (1998). Psychiatric disorders in primary care patients receiving complementary medical treatments. Comprehensive Psychiatry. 39(1). 16–20. 24 indexed citations
20.
Eisen, Mark, et al.. (1963). Stochastic Variations in Queuing Processes. Operations Research. 11(6). 922–927. 39 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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