Jarosław Protasiewicz

533 total citations
14 papers, 311 citations indexed

About

Jarosław Protasiewicz is a scholar working on Artificial Intelligence, Information Systems and Management Information Systems. According to data from OpenAlex, Jarosław Protasiewicz has authored 14 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Information Systems and 2 papers in Management Information Systems. Recurrent topics in Jarosław Protasiewicz's work include Advanced Text Analysis Techniques (5 papers), Recommender Systems and Techniques (4 papers) and Text and Document Classification Technologies (4 papers). Jarosław Protasiewicz is often cited by papers focused on Advanced Text Analysis Techniques (5 papers), Recommender Systems and Techniques (4 papers) and Text and Document Classification Technologies (4 papers). Jarosław Protasiewicz collaborates with scholars based in Canada, Japan and Saudi Arabia. Jarosław Protasiewicz's co-authors include Marcin Mirończuk, Witold Pedrycz, Marek Kozłowski and Piotr S. Szczepaniak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Jarosław Protasiewicz

13 papers receiving 290 citations

Peers

Jarosław Protasiewicz

AI

IS

CVPR

MSOR

SPS

Sérgio Canuto Brazil

Takahira Yamaguchi Japan

Marcin Mirończuk Poland

Henda Hajjami Ben Ghézala Tunisia

Deepjyoti Roy India

Ngamnij Arch‐int Thailand

Christopher Thomas United States

Seyed Mostafa Fakhrahmad Iran

Masoud Makrehchi Canada

Marco Fisichella Germany

Sérgio Canuto Brazil

Jarosław Protasiewicz

333 ×1.6

AI

114 ×1.0

IS

45 ×1.3

CVPR

37 ×1.4

MSOR

19 ×0.9

SPS

Citations per year, relative to Jarosław Protasiewicz Jarosław Protasiewicz (= 1×) peers Sérgio Canuto

Countries citing papers authored by Jarosław Protasiewicz

Since Specialization

Citations

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

Fields of papers citing papers by Jarosław Protasiewicz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jarosław Protasiewicz

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

All Works

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14 of 14 papers shown

1.

Protasiewicz, Jarosław, et al.. (2021). Open access to data on higher education and science: A case study of the RAD-on platform in Poland. EPiC series in computing. 78. 9. 1 indexed citations

2.

Protasiewicz, Jarosław, et al.. (2020). A Bidirectional Iterative Algorithm for Nested Named Entity Recognition. IEEE Access. 8. 135091–135102. 10 indexed citations

3.

Mirończuk, Marcin, Jarosław Protasiewicz, & Witold Pedrycz. (2019). Empirical evaluation of feature projection algorithms for multi-view text classification. Expert Systems with Applications. 130. 97–112. 13 indexed citations

4.

Protasiewicz, Jarosław, et al.. (2019). A Deep Learning Model with Data Enrichment for Intent Detection and Slot Filling. 3012–3018. 6 indexed citations

5.

Mirończuk, Marcin & Jarosław Protasiewicz. (2019). Recognising innovative companies by using a diversified stacked generalisation method for website classification. Applied Intelligence. 50(1). 42–60. 2 indexed citations

6.

Mirończuk, Marcin & Jarosław Protasiewicz. (2018). A recent overview of the state-of-the-art elements of text classification. Expert Systems with Applications. 106. 36–54. 194 indexed citations

7.

Protasiewicz, Jarosław, et al.. (2018). A neural framework for online recognition of handwritten Kanji characters. SHILAP Revista de lepidopterología. 15. 479–483. 3 indexed citations

8.

Protasiewicz, Jarosław. (2017). Inventorum: A platform for open innovation. 10–15. 3 indexed citations

9.

Protasiewicz, Jarosław. (2017). Inventorum — A recommendation system connecting business and academia. 1920–1925. 3 indexed citations

10.

Protasiewicz, Jarosław, et al.. (2016). A recommender system of reviewers and experts in reviewing problems. Knowledge-Based Systems. 106. 164–178. 54 indexed citations

11.

Protasiewicz, Jarosław, et al.. (2016). A hybrid knowledge-based framework for author name disambiguation. 594–600. 6 indexed citations

12.

Protasiewicz, Jarosław, et al.. (2015). Multilingual and Hierarchical Classification of Large Datasets of Scientific Publications. 12. 1670–1675. 1 indexed citations

13.

Protasiewicz, Jarosław. (2014). A support system for selection of reviewers. 3062–3065. 10 indexed citations

14.

Protasiewicz, Jarosław & Piotr S. Szczepaniak. (2012). Neural Models of Demands for Electricity - Prediction and Risk Assessment. PRZEGLĄD ELEKTROTECHNICZNY. 272–279. 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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