Ehsan Nazerfard

612 citations
18 papers · 373 · h-index 10

Impact in

Papers in

Ehsan Nazerfard

17 papers receiving 358 citations

Peers

Ehsan Nazerfard
Comparison fields: 5 of 72
  • Computer Vision and Pattern Recognition 257
  • Signal Processing 50
  • Computer Networks and Communications 97
  • Transportation 27
  • Artificial Intelligence 127
Replace A.A. Litvin with:
A.A. Litvin Ukraine
Bryan Minor United States
Liangying Peng China
Belkacem Fergani Algeria
H M Sajjad Hossain United States
Zhongtang Zhao China
Dipanwita Thakur India
Diana Yacchirema Spain
Chamin Morikawa Japan
K. Gayathri India
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Citations per field
00.5×12.3×
A.A. Litvin · 1×
Citations per year

Countries citing papers authored by Ehsan Nazerfard

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Nazerfard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Ehsan Nazerfard, 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 Ehsan Nazerfard Line = papers co-authored together Ehsan Nazerfard links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202093
2 201053
3 201945
4 201443
5 201037
6 202022
7 202220
8
Using Bayesian networks for daily activity prediction
201317
9 202016
10 20189
11 20127
12 20165
13 20212
14 20251
15 20061
16 20191
17 20201
18 20230

About Ehsan Nazerfard

Ehsan Nazerfard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing and Computer Networks and Communications, having authored 18 papers that have together received 373 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (10 papers), IoT-based Smart Home Systems (4 papers), Human Pose and Action Recognition (4 papers), Data Management and Algorithms (3 papers), Anomaly Detection Techniques and Applications (3 papers), IoT and Edge/Fog Computing (2 papers), Video Surveillance and Tracking Methods (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (257 citations), Signal Processing (50 citations), Computer Networks and Communications (97 citations), Transportation (27 citations) and Artificial Intelligence (127 citations). Ehsan Nazerfard has collaborated with scholars based in Iran, United States and Sweden. Frequent co-authors include Diane J. Cook, Barnan Das, Lawrence B. Holder, Parisa Rashidi, Ali Risheh, Somayeh Asadi, Mehrdad Abedi, Houtan Jebelli, Morteza Nazari‐Heris and Morteza Haghir Chehreghani. Their work appears in journals such as Journal of Ambient Intelligence and Humanized Computing, Expert Systems with Applications, IET Generation Transmission & Distribution, Neurocomputing and Journal of Ambient Intelligence and Smart Environments.

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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