Muhammad Okky Ibrohim

570 citations
18 papers · 372 indexed · h-index 9
Topics
Hate Speech and Cyberbullying Detection (10 papers)Spam and Phishing Detection (8 papers)Advanced Malware Detection Techniques (5 papers)
Partner nations
IndonesiaItaly

In The Last Decade

Muhammad Okky Ibrohim

15 papers receiving 351 citations

Peers

Muhammad Okky Ibrohim
Comparison fields: 5 of 45
  • Artificial Intelligence 333
  • Information Systems 141
  • Signal Processing 56
  • Sociology and Political Science 48
  • Communication 42
Replace Fabio Poletto with:
Fabio Poletto Italy
Sandip Modha India
M. Dolores Molina-González Spain
Carole E. Chaski United States
Atul Kr. Ojha Ireland
Francisco Rangel Spain
Shardul Suryawanshi Ireland
Mihael Arčan Ireland
Punyajoy Saha India
Yuzhou Wang China
Muhammad Okky Ibrohim relative to Fabio Poletto Italy Fabio Poletto's profile →
Citations per field
00.5×2.7×
Fabio Poletto · 1×
Citations per year

Countries citing papers authored by Muhammad Okky Ibrohim

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Okky Ibrohim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Okky Ibrohim. 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 Muhammad Okky Ibrohim. The network helps show where Muhammad Okky Ibrohim may publish in the future.

Co-authorship network of co-authors of Muhammad Okky Ibrohim

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Okky Ibrohim. A scholar is included among the top collaborators of Muhammad Okky Ibrohim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Muhammad Okky Ibrohim. Muhammad Okky Ibrohim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 8
2 14
3 4
4 1
5 3
6 18
7 3
8 8
9 1
10 149
11 16
12 13
13 0
14 12
15 17
16 16
17 89
18 0

About Muhammad Okky Ibrohim

Muhammad Okky Ibrohim is a scholar working on Signal Processing, Artificial Intelligence and Information Systems, having authored 18 papers that have together received 372 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (10 papers), Spam and Phishing Detection (8 papers) and Advanced Malware Detection Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (333 citations), Information Systems (141 citations) and Communication (42 citations). Muhammad Okky Ibrohim has collaborated with scholars based in Indonesia and Italy. Frequent co-authors include Indra Budi, Valerio Basile, Cristina Bosco and Ari Saptawijaya. Their work appears in journals such as ACM Computing Surveys, Heliyon and International Journal on Advanced Science Engineering and Information Technology.

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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