Syed Umar

791 citations
45 papers · 420 indexed · h-index 9

Impact in

Papers in

Syed Umar

38 papers receiving 395 citations

Peers

Syed Umar
Comparison fields: 5 of 79
  • Artificial Intelligence 209
  • Computer Networks and Communications 92
  • Control and Systems Engineering 85
  • Management Science and Operations Research 41
  • Computational Theory and Mathematics 41
Replace Landon Kraemer with:
Landon Kraemer United States
Kun Shao China
Peter Sunehag Australia
Alborz Geramifard United States
Murat Aslan Türkiye
Jelle R. Kok Netherlands
S. Chenthur Pandian India
A. J. Umbarkar India
Marwa Sharawi Egypt
Ludovic Apvrille France
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Citations per field
00.5×4.3×
Landon Kraemer · 1×
Citations per year

Countries citing papers authored by Syed Umar

Since Specialization
Citations

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

Fields of papers citing papers by Syed Umar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Syed Umar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Syed Umar Line = papers co-authored together Syed Umar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Game-Theoretic Approach to Apprenticeship Learning
2007110
2 200894
3 202132
4 201130
5 202223
6 201615
7 202214
8 201714
9 20159
10 20198
11 20178
12 20187
13 20197
14 20175
15
Semi-Supervised Learning with Adversarially Missing Label Information
20104
16
A Study on Big Data and its Importance
20144
17 20223
18 20173
19 20133
20 20172

About Syed Umar

Syed Umar is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 420 indexed citations. Recurring topics across this work include Antenna Design and Analysis (6 papers), Energy Efficient Wireless Sensor Networks (5 papers), Energy Harvesting in Wireless Networks (5 papers), Machine Learning and Algorithms (4 papers), Mobile Ad Hoc Networks (3 papers), Software-Defined Networks and 5G (3 papers), Advanced MIMO Systems Optimization (3 papers) and IoT-based Smart Home Systems (3 papers). The work is most often cited by research in Artificial Intelligence (209 citations), Computer Networks and Communications (92 citations), Control and Systems Engineering (85 citations), Management Science and Operations Research (41 citations) and Computational Theory and Mathematics (41 citations). Syed Umar has collaborated with scholars based in India, Pakistan and United States. Frequent co-authors include Robert E. Schapire, Michael Bowling, Alex Fabrikant, Jennifer Rexford, Sadiq Ullah, Abolfazl Mehbodniya, Tanweer Alam, Muhammad Ahmad, Muhammad Zubair and Farhan Jalees Ahmad. Their work appears in journals such as Energy Sources Part A Recovery Utilization and Environmental Effects, Medicinal Chemistry Research, Andrologia, Wireless Communications and Mobile Computing and International Journal of Electrical and Computer Engineering (IJECE).

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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