Anees Ullah

613 citations
43 papers · 431 · h-index 14

Impact in

Papers in

Anees Ullah

41 papers receiving 419 citations

Peers

Anees Ullah
Comparison fields: 5 of 25
  • Hardware and Architecture 125
  • Electrical and Electronic Engineering 261
  • Signal Processing 24
  • Computer Networks and Communications 43
  • Computational Mathematics 1
Replace Ramesh Bhakthavatchalu with:
Ramesh Bhakthavatchalu India
Larysa Titarenko Poland
Pavle Belanović Spain
Paul Rigge United States
Saeed Fouladi Fard Canada
Thierry Tambe United States
Angeliki S. Kritikakou France
Thierry Grandpierre France
Tim Todman United Kingdom
Pong P. Chu United States
Anees Ullah relative to Ramesh Bhakthavatchalu India Ramesh Bhakthavatchalu's profile →
Citations per field
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Ramesh Bhakthavatchalu · 1×
Citations per year

Countries citing papers authored by Anees Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Anees Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anees Ullah, 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 Anees Ullah Line = papers co-authored together Anees Ullah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201928
2 202128
3 201725
4 202224
5 201321
6 201320
7 201620
8 202120
9 201819
10 201718
11 201918
12 201716
13 201816
14 201714
15 201914
16 202214
17 202112
18 201410
19 202010
20 202310

About Anees Ullah

Anees Ullah is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 43 papers that have together received 431 indexed citations. Recurring topics across this work include Radiation Effects in Electronics (25 papers), Network Packet Processing and Optimization (8 papers), Embedded Systems Design Techniques (4 papers), VLSI and Analog Circuit Testing (3 papers), Coding theory and cryptography (2 papers), Sensorless Control of Electric Motors (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Interconnection Networks and Systems (1 paper). The work is most often cited by research in Hardware and Architecture (125 citations), Electrical and Electronic Engineering (261 citations), Signal Processing (24 citations), Computer Networks and Communications (43 citations) and Computational Mathematics (1 citation). Anees Ullah has collaborated with scholars based in Pakistan, Spain and China. Frequent co-authors include Pedro Reviriego, Luca Sterpone, Salvatore Pontarelli, Juan Antonio Maestro, Matteo Sonza Reorda, Zhen Gao, Ernesto Sánchez, Shulin Zeng, Yi Yao and Abdul Khaliq. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Circuits and Systems I Regular Papers, Microelectronics Reliability, Electronics and IEEE Transactions on Device and Materials Reliability.

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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