Ion Bica

625 citations
32 papers · 435 · h-index 13

Impact in

Papers in

Ion Bica

29 papers receiving 402 citations

Peers

Ion Bica
Comparison fields: 5 of 71
  • Signal Processing 144
  • Computer Networks and Communications 303
  • Information Systems 139
  • Artificial Intelligence 141
  • Control and Systems Engineering 55
Replace Konrad Wrona with:
Konrad Wrona Poland
Taimur Bakhshi United Kingdom
Yisroel Mirsky Israel
Mikail Mohammed Salim South Korea
Farhat Anwar Malaysia
Yuli Deng United States
Matteo Repetto Italy
Saša Mrdović Bosnia and Herzegovina
Farzaneh Shoeleh Canada
Hui Wen China
Ion Bica relative to Konrad Wrona Poland Konrad Wrona's profile →
Citations per field
00.5×1.5×2.1×
Konrad Wrona · 1×
Citations per year

Countries citing papers authored by Ion Bica

Since Specialization
Citations

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

Fields of papers citing papers by Ion Bica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Ion Bica, 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 Ion Bica Line = papers co-authored together Ion Bica links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201798
2 202159
3 201424
4 202024
5 201621
6 202020
7 201016
8
Security Analysis of LTE Access Network
201116
9 201716
10 201816
11 201916
12 201912
13 201612
14 202111
15 20229
16 20199
17 20188
18 20167
19 20106
20 20235

About Ion Bica

Ion Bica is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 435 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (8 papers), IoT and Edge/Fog Computing (6 papers), Cryptography and Data Security (4 papers), Context-Aware Activity Recognition Systems (4 papers), Advanced Authentication Protocols Security (4 papers), Security in Wireless Sensor Networks (3 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Signal Processing (144 citations), Computer Networks and Communications (303 citations), Information Systems (139 citations), Artificial Intelligence (141 citations) and Control and Systems Engineering (55 citations). Ion Bica has collaborated with scholars based in Romania, Italy and United States. Frequent co-authors include Florin Pop, Marius Preda, Aniello Castiglione, Dragoş Crețoiu, Sanda Maria Creţoiu, Carmen Elena Condrat, Titus Bălan, Emil Simion, Mihai Dascălu and Bogdan Mocanu. Their work appears in journals such as Applied Sciences, Sensors, Electronics, Future Generation Computer Systems and Soft Computing.

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.

Explore authors with similar magnitude of impact