Ferda Ofli

64 papers receiving 3.0k citations

Hit Papers

Berkeley MHAD: A comprehensive Multimodal Human Action Database 2013 · 327 citations
3270+4+8Years since publication100200300

Peers

Ferda Ofli
Comparison fields: 5 of 140
  • Communication 605
  • Human-Computer Interaction 356
  • Computer Vision and Pattern Recognition 1.3k
  • Artificial Intelligence 1.1k
  • Sociology and Political Science 636
Replace Marco Avvenuti with:
Marco Avvenuti Italy
Mohammed Ali Al-Garadi Malaysia
Noel E. O’Connor Ireland
Dinesh Kumar Vishwakarma India
James Miller Canada
Michael Zyda United States
Jwu‐Sheng Hu Taiwan
Imad H. Elhajj Lebanon
Donald J. Berndt United States
Nicola Conci Italy
Ferda Ofli relative to Marco Avvenuti Italy Marco Avvenuti's profile →
Citations per field
00.5×7.7×
Marco Avvenuti · 1×
Citations per year

Countries citing papers authored by Ferda Ofli

Since Specialization
Citations

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

Fields of papers citing papers by Ferda Ofli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Berkeley MHAD: A comprehensive Multimodal Human Action Database
Hit paper breakdown →
2013327
2 2012234
3 2017229
4 2013218
5 2018216
6 2016166
7 2017134
8 2013112
9 2020111
10 2016105
11 201984
12 201877
13 202070
14 201769
15 201567
16 201262
17 201153
18 202049
19 202148
20 202045

About Ferda Ofli

Ferda Ofli is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science, Communication, Artificial Intelligence and Control and Systems Engineering, having authored 66 papers that have together received 3.1k indexed citations. Recurring topics across this work include Public Relations and Crisis Communication (20 papers), Disaster Management and Resilience (17 papers), Misinformation and Its Impacts (11 papers), Human Pose and Action Recognition (10 papers), Seismology and Earthquake Studies (10 papers), Human Motion and Animation (9 papers), Anomaly Detection Techniques and Applications (7 papers) and Hand Gesture Recognition Systems (5 papers). The work is most often cited by research in Communication (605 citations), Human-Computer Interaction (356 citations), Computer Vision and Pattern Recognition (1.3k citations), Artificial Intelligence (1.1k citations) and Sociology and Political Science (636 citations). Ferda Ofli has collaborated with scholars based in Qatar, United States and Türkiye. Frequent co-authors include Muhammad Imran, Firoj Alam, Gregorij Kurillo, Růžena Bajcsy, Rizwan Chaudhry, Renè Vidal, Antonio Torralba, Umair Qazi, Ingmar Weber and Štěpán Obdržálek. Their work appears in journals such as Scientific Reports, IEEE Transactions on Multimedia, Neural Computing and Applications, Big Data and JMIR mhealth and uhealth.

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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