Igor Pantić

3.4k citations
91 papers · 2.4k indexed · 2 hit papers · h-index 22

Impact in

Papers in

Igor Pantić

84 papers receiving 2.3k citations

Hit Papers

Association between Facebook addiction, self-esteem and life satisfaction: A cross-sectional study 2015 · 286 citations
2862014202620182022100200300

Peers

Igor Pantić
Comparison fields: 5 of 182
  • Applied Psychology 323
  • Communication 285
  • Sociology and Political Science 1.0k
  • Biophysics 113
  • Education 456
Replace Hyojin Kim with:
Hyojin Kim South Korea
Jawad Fares United States
Soyoung Choi South Korea
Yan Zhou China
Sriram Narayanan United States
Kathleen Campbell United States
Shanshan Lu China
Elizabeth A. Martin United States
Michael Conway Canada
Grace Wang New Zealand
Igor Pantić relative to Hyojin Kim South Korea Hyojin Kim's profile →
Citations per field
00.5×7.6×
Hyojin Kim · 1×
Citations per year

Countries citing papers authored by Igor Pantić

Since Specialization
Citations

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

Fields of papers citing papers by Igor Pantić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20244
5 20243
6 20236
7 202325
8 20231
9 202317
10 202318
11 20215
12 20213
13 201810
14 201621
15 2015158
16
APPLICATION OF SILVER NANOPARTICLES IN EXPERIMENTAL PHYSIOLOGY AND CLINICAL MEDICINE: CURRENT STATUS AND FUTURE PROSPECTS
201415
17 201431
18 20133
19 201238
20 201126

About Igor Pantić

Igor Pantić is a scholar working on Biophysics, Obstetrics and Gynecology, Biological Psychiatry, Health Informatics and Architecture, having authored 91 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (12 papers), Gene expression and cancer classification (11 papers), Pregnancy and preeclampsia studies (9 papers), Computational Drug Discovery Methods (8 papers), Nanoparticles: synthesis and applications (8 papers), Impact of Technology on Adolescents (7 papers), Gestational Diabetes Research and Management (7 papers) and Digital Imaging for Blood Diseases (6 papers). The work is most often cited by research in Applied Psychology (323 citations), Communication (285 citations), Sociology and Political Science (1.0k citations), Biophysics (113 citations) and Education (456 citations). Igor Pantić has collaborated with scholars based in Serbia, Israel and United Arab Emirates. Frequent co-authors include Aneta Przepiórka, Agata Błachnio, Senka Pantic, Jovana Paunović, Ivan Dimitrijević, Siniša Ristić, Aleksandar Damjanović, Jovana Todorović, Tatjana Radosavljević and Danijela Vučević. Their work appears in journals such as Microscopy and Microanalysis, Chemico-Biological Interactions, REVIEWS ON ADVANCED MATERIALS SCIENCE, Journal of Theoretical Biology and Scientific Reports.

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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