Abhimanu Kumar

1.1k total citations · 1 hit paper
13 papers, 631 citations indexed

About

Abhimanu Kumar is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Abhimanu Kumar has authored 13 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Abhimanu Kumar's work include Stochastic Gradient Optimization Techniques (5 papers), Cloud Computing and Resource Management (4 papers) and Topic Modeling (3 papers). Abhimanu Kumar is often cited by papers focused on Stochastic Gradient Optimization Techniques (5 papers), Cloud Computing and Resource Management (4 papers) and Topic Modeling (3 papers). Abhimanu Kumar collaborates with scholars based in United States, Singapore and Canada. Abhimanu Kumar's co-authors include Eric P. Xing, Qirong Ho, Jinliang Wei, Seunghak Lee, Yaoliang Yu, Pengtao Xie, Xun Zheng, Jin Kyu Kim, Wei Dai and Wei Dai and has published in prestigious journals such as Experimental Mechanics, The International Review of Research in Open and Distributed Learning and IEEE Transactions on Big Data.

In The Last Decade

Abhimanu Kumar

13 papers receiving 607 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Petuum: A New Platform for Distributed Machine Learning on Big Data

2015 257 citations Eric P. Xing, Qirong Ho et al. IEEE Transactions on Big Data profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abhimanu Kumar United States	10	394	200	171	134	69	13	631
Liwei Kuang China	10	219 0.6×	76 0.4×	257 1.5×	115 0.9×	92 1.3×	17	521
Aaron Harlap United States	5	464 1.2×	328 1.6×	325 1.9×	219 1.6×	11 0.2×	6	796
Yanwei Xu China	8	120 0.3×	84 0.4×	185 1.1×	119 0.9×	58 0.8×	25	383
Matej Balog United Kingdom	4	218 0.6×	44 0.2×	45 0.3×	86 0.6×	18 0.3×	5	470
Jinyang Li United States	12	152 0.4×	204 1.0×	319 1.9×	238 1.8×	11 0.2×	28	661
Xiangyu Liu China	12	220 0.6×	132 0.7×	118 0.7×	175 1.3×	7 0.1×	36	477
Shenglin Zhao China	11	423 1.1×	150 0.8×	115 0.7×	410 3.1×	12 0.2×	17	786
Bingzhe Wu China	12	267 0.7×	80 0.4×	52 0.3×	65 0.5×	7 0.1×	33	455

Countries citing papers authored by Abhimanu Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Abhimanu Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhimanu Kumar

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

All Works

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13 of 13 papers shown

1.

Cui, Henggang, James Cipar, Qirong Ho, et al.. (2018). Exploiting bounded staleness to speed up Big Data analytics. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 37–48. 53 indexed citations

2.

Bhatia, Archna, Chu‐Cheng Lin, Nathan Schneider, et al.. (2018). Automatic Classification of Communicative Functions of Definiteness. Figshare. 1 indexed citations

3.

Kumar, Abhimanu, Alex Beutel, Qirong Ho, & Eric P. Xing. (2018). Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data. Figshare. 33. 531–539. 3 indexed citations

4.

Xie, Pengtao, Yuntian Deng, Yi Zhou, et al.. (2017). Learning Latent Space Models with Angular Constraints. International Conference on Machine Learning. 3799–3810. 9 indexed citations

5.

Xie, Pengtao, Jin Kyu Kim, Yi Zhou, et al.. (2016). Lighter-communication distributed machine learning via Sufficient Factor Broadcasting. Uncertainty in Artificial Intelligence. 795–804. 8 indexed citations

6.

Xing, Eric P., Qirong Ho, Wei Dai, et al.. (2015). Petuum. 1335–1344. 76 indexed citations

7.

Dai, Wei, Abhimanu Kumar, Jinliang Wei, et al.. (2015). High-Performance Distributed ML at Scale through Parameter Server Consistency Models. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 65 indexed citations

8.

Xing, Eric P., Qirong Ho, Wei Dai, et al.. (2015). Petuum: A New Platform for Distributed Machine Learning on Big Data. IEEE Transactions on Big Data. 1(2). 49–67. 257 indexed citations breakdown →

9.

Yang, Diyi, Miaomiao Wen, Abhimanu Kumar, Eric P. Xing, & Carolyn Penstein Rosé. (2014). Towards an integration of text and graph clustering methods as a lens for studying social interaction in MOOCs. The International Review of Research in Open and Distributed Learning. 15(5). 30 indexed citations

10.

Beutel, Alex, Partha Talukdar, Abhimanu Kumar, et al.. (2014). FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop. 109–117. 75 indexed citations

11.

Kumar, Abhimanu, Matthew Lease, & Jason Baldridge. (2011). Supervised language modeling for temporal resolution of texts. 2069–2072. 30 indexed citations

12.

Kumar, Abhimanu & Matthew Lease. (2011). Learning to rank from a noisy crowd. 1221–1222. 9 indexed citations

13.

Hubner, J. P., et al.. (2006). Load and Boundary Condition Calibration Using Full-field Strain Measurement. Experimental Mechanics. 46(5). 569–578. 15 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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Breakdown of academic impact, for papers by Liwei Kuang Breakdown of academic impact, for papers by Aaron Harlap Breakdown of academic impact, for papers by Yanwei Xu Breakdown of academic impact, for papers by Matej Balog Breakdown of academic impact, for papers by Jinyang Li Breakdown of academic impact, for papers by Xiangyu Liu Breakdown of academic impact, for papers by Shenglin Zhao Breakdown of academic impact, for papers by Bingzhe Wu