Pero Subašić

408 total citations
12 papers, 262 citations indexed

About

Pero Subašić is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Pero Subašić has authored 12 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Computational Theory and Mathematics. Recurrent topics in Pero Subašić's work include AI-based Problem Solving and Planning (4 papers), Fuzzy Logic and Control Systems (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). Pero Subašić is often cited by papers focused on AI-based Problem Solving and Planning (4 papers), Fuzzy Logic and Control Systems (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). Pero Subašić collaborates with scholars based in Serbia, Japan and United States. Pero Subašić's co-authors include Alison K. Huettner, Kaoru Hirota, Sanja Vraneš, Benjamin Rey, Rosie Jones, Sayandev Mukherjee and Lin Xiao and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Pero Subašić

11 papers receiving 233 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pero Subašić Serbia	6	212	42	27	26	24	12	262
Kaisong Song China	11	282 1.3×	71 1.7×	14 0.5×	20 0.8×	16 0.7×	28	315
Ferran Plà Spain	11	342 1.6×	40 1.0×	8 0.3×	37 1.4×	12 0.5×	42	400
Srishti Vashishtha India	10	215 1.0×	72 1.7×	25 0.9×	33 1.3×	19 0.8×	18	300
Salma Jamoussi Tunisia	11	225 1.1×	61 1.5×	13 0.5×	27 1.0×	7 0.3×	56	330
Rodrigo Agerri Spain	14	462 2.2×	58 1.4×	39 1.4×	37 1.4×	16 0.7×	47	536
Michal Shmueli-Scheuer Israel	10	158 0.7×	52 1.2×	18 0.7×	22 0.8×	25 1.0×	32	247
Sixing Wu China	12	444 2.1×	71 1.7×	11 0.4×	26 1.0×	56 2.3×	24	505
Johann Petrak United Kingdom	8	311 1.5×	92 2.2×	28 1.0×	67 2.6×	9 0.4×	15	395
Ranjan Satapathy Singapore	11	315 1.5×	56 1.3×	32 1.2×	28 1.1×	53 2.2×	25	420

Countries citing papers authored by Pero Subašić

Since Specialization

Citations

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

Fields of papers citing papers by Pero Subašić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pero Subašić

This figure shows the co-authorship network connecting the top 25 collaborators of Pero Subašić. A scholar is included among the top collaborators of Pero Subašić 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 Pero Subašić. Pero Subašić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Subašić, Pero, et al.. (2019). Building Knowledge Base through Deep Learning Relation Extraction and Wikidata.. 3 indexed citations

2.

Mukherjee, Sayandev, et al.. (2014). Detecting trending topics using page visitation statistics. 347–348. 3 indexed citations

3.

Jones, Rosie, et al.. (2007). Automatically generating related queries in Japanese. Computers and the Humanities. 40(3-4). 219–232. 6 indexed citations

4.

Subašić, Pero, et al.. (2002). A new representational framework for fuzzy sets. Proceedings of 6th International Fuzzy Systems Conference. 3. 1601–1606. 4 indexed citations

5.

Subašić, Pero, et al.. (2002). Qualitative modeling with gradual and similarity rules. 3. 1447–1454.

6.

Subašić, Pero & Alison K. Huettner. (2002). Affect analysis of text using fuzzy semantic typing. 2. 647–652. 14 indexed citations

7.

Subašić, Pero & Alison K. Huettner. (2001). Affect analysis of text using fuzzy semantic typing. IEEE Transactions on Fuzzy Systems. 9(4). 483–496. 193 indexed citations

8.

Subašić, Pero & Kaoru Hirota. (1998). Similarity rules and gradual rules for analogical and interpolative reasoning with imprecise data. Fuzzy Sets and Systems. 96(1). 53–75. 20 indexed citations

9.

Subašić, Pero. (1997). Fazi logika i neuronske mreze. 1 indexed citations

10.

Vraneš, Sanja, et al.. (1994). A blackboard framework on top of prolog. Expert Systems with Applications. 7(1). 109–130. 10 indexed citations

11.

Vraneš, Sanja, et al.. (1994). A framework for engineering intelligent control systems. Engineering Applications of Artificial Intelligence. 7(4). 367–380. 3 indexed citations

12.

Vraneš, Sanja, et al.. (1992). Blackboard metaphor in tactical decision making. European Journal of Operational Research. 61(1-2). 86–97. 5 indexed citations

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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