Plamen Mateev

20 papers receiving 267 citations

Peers

Plamen Mateev
Comparison fields: 5 of 92
  • Physical Therapy, Sports Therapy and Rehabilitation 40
  • Rehabilitation 27
  • Statistics, Probability and Uncertainty 19
  • Artificial Intelligence 80
  • Psychiatry and Mental health 38
Replace Célia Nunes with:
Célia Nunes Portugal
Abdulfattah S. Mashat Saudi Arabia
Bruce X. B. Yu Hong Kong
Rossitza Goleva Bulgaria
Rumi Iqbal Doewes Indonesia
Ishaya Gambo Nigeria
Patrice Roy Canada
Nikos Kostopoulos Greece
Janet Light Canada
Daniel Dinu France
Plamen Mateev relative to Célia Nunes Portugal Célia Nunes's profile →
Citations per field
00.5×9.5×
Célia Nunes · 1×
Citations per year

Countries citing papers authored by Plamen Mateev

Since Specialization
Citations

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

Fields of papers citing papers by Plamen Mateev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Plamen Mateev, 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 Plamen Mateev Line = papers co-authored together Plamen Mateev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Weight functions impact on LSA performance
200175
2 200368
3 200524
4 201222
5 200918
6 200616
7 200611
8 20048
9 19808
10 19938
11 20077
12 20076
13 20085
14 20035
15 20084
16 20163
17 20093
18 19863
19 20102
20 20111

About Plamen Mateev

Plamen Mateev is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Sociology and Political Science, Information Systems and Statistical and Nonlinear Physics, having authored 22 papers that have together received 297 indexed citations. Recurring topics across this work include Risk and Safety Analysis (6 papers), Reliability and Maintenance Optimization (4 papers), Risk Perception and Management (4 papers), Complex Network Analysis Techniques (3 papers), Balance, Gait, and Falls Prevention (3 papers), Opinion Dynamics and Social Influence (3 papers), Software Reliability and Analysis Research (2 papers) and Diabetic Foot Ulcer Assessment and Management (2 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (40 citations), Rehabilitation (27 citations), Statistics, Probability and Uncertainty (19 citations), Artificial Intelligence (80 citations) and Psychiatry and Mental health (38 citations). Plamen Mateev has collaborated with scholars based in Bulgaria, New Zealand and United States. Frequent co-authors include Еkaterina Titianova, Ina M. Tarkka, Stefanka Chukova, Preslav Nakov, Juhani Sivenius, Sinikka H. Peurala, M. B. Malyutov, Kauko Pitkänen, Michael Moustakas and Z. Smith. Their work appears in journals such as Journal of Electromyography and Kinesiology, Restorative Neurology and Neuroscience, Environmental Science and Pollution Research, Interdisciplinary Journal of Information Knowledge and Management and Astrophysics and Space Science.

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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