Dawid Weiss

1.4k total citations
14 papers, 551 citations indexed

About

Dawid Weiss is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Dawid Weiss has authored 14 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 7 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Dawid Weiss's work include Data Management and Algorithms (6 papers), Web Data Mining and Analysis (4 papers) and Open Source Software Innovations (3 papers). Dawid Weiss is often cited by papers focused on Data Management and Algorithms (6 papers), Web Data Mining and Analysis (4 papers) and Open Source Software Innovations (3 papers). Dawid Weiss collaborates with scholars based in Poland, Italy and Canada. Dawid Weiss's co-authors include Stanisław Osiński, Claudio Carpineto, Giovanni Romano, Marcin Sydow, Jakub Piskorski, Jerzy Stefanowski, Wojtek Michalowski, Ken Farion, Dympna O’Sullivan and Szymon Wilk and has published in prestigious journals such as ACM Computing Surveys, IEEE Intelligent Systems and Methods of Information in Medicine.

In The Last Decade

Dawid Weiss

14 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dawid Weiss Poland	8	326	325	100	73	72	14	551
Dmitry Pavlov United States	11	254 0.8×	250 0.8×	58 0.6×	95 1.3×	74 1.0×	16	487
Micheline Beaulieu United Kingdom	11	366 1.1×	329 1.0×	55 0.6×	90 1.2×	29 0.4×	20	586
Álvaro Barreiro Spain	14	317 1.0×	352 1.1×	72 0.7×	95 1.3×	36 0.5×	58	561
Kenji Hatano Japan	8	417 1.3×	269 0.8×	108 1.1×	94 1.3×	23 0.3×	41	618
Jianhan Zhu United Kingdom	10	315 1.0×	209 0.6×	53 0.5×	63 0.9×	49 0.7×	29	436
Peter Anick United States	13	348 1.1×	434 1.3×	99 1.0×	69 0.9×	21 0.3×	30	689
Maheedhar Kolla Canada	5	465 1.4×	300 0.9×	107 1.1×	138 1.9×	40 0.6×	12	648
Stanisław Osiński Poland	2	228 0.7×	261 0.8×	90 0.9×	65 0.9×	18 0.3×	3	397
Ziming Zhuang United States	10	286 0.9×	175 0.5×	52 0.5×	65 0.9×	32 0.4×	20	438
Hema Raghavan United States	16	244 0.7×	486 1.5×	64 0.6×	95 1.3×	29 0.4×	27	670

Countries citing papers authored by Dawid Weiss

Since Specialization

Citations

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

Fields of papers citing papers by Dawid Weiss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawid Weiss

This figure shows the co-authorship network connecting the top 25 collaborators of Dawid Weiss. A scholar is included among the top collaborators of Dawid Weiss 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 Dawid Weiss. Dawid Weiss 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:

14 of 14 papers shown

1.

Farion, Ken, Wojtek Michalowski, Dympna O’Sullivan, et al.. (2009). Clinical Decision Support System for Point of Care Use. Methods of Information in Medicine. 48(4). 381–390. 20 indexed citations

2.

Carpineto, Claudio, Stanisław Osiński, Giovanni Romano, & Dawid Weiss. (2009). A survey of Web clustering engines. ACM Computing Surveys. 41(3). 1–38. 232 indexed citations

3.

Weiss, Dawid, et al.. (2008). Carrot2: Making Sense of the Haystack.. ERCIM news/ERCIM news online edition. 2008. 5 indexed citations

4.

Weiss, Dawid, et al.. (2008). Modeling the frequency of phrasal verbs with search engines. 381–388. 1 indexed citations

5.

Piskorski, Jakub, Marcin Sydow, & Dawid Weiss. (2008). Exploring linguistic features for web spam detection. 25–28. 51 indexed citations

6.

Sydow, Marcin, et al.. (2008). Fighting Web Spam. 134–153. 1 indexed citations

7.

Stefanowski, Jerzy & Dawid Weiss. (2007). Extending k-means with the description comes first approach. Control and Cybernetics. 36(4). 1009–1035. 2 indexed citations

8.

Stefanowski, Jerzy & Dawid Weiss. (2007). Comprehensible and accurate cluster labels in text clustering. 198–209. 8 indexed citations

9.

Weiss, Dawid. (2007). Clustering Search Results with Carrot 2. 2 indexed citations

10.

Weiss, Dawid. (2005). A Large Crawl and Quantitative Analysis of Open Source Projects Hosted on SourceForge. 16(6). 129–31. 18 indexed citations

11.

Osiński, Stanisław & Dawid Weiss. (2005). A Concept-Driven Algorithm for Clustering Search Results. IEEE Intelligent Systems. 20(3). 48–54. 164 indexed citations

12.

Weiss, Dawid. (2005). Measuring success of open source projects using web search engines. Lincoln Repository (University of Lincoln). 28 indexed citations

13.

Weiss, Dawid. (2005). Quantitative analysis of open source projects on SourceForge. Lincoln Repository (University of Lincoln). 17 indexed citations

14.

Weiss, Dawid. (2002). Introduction to Search Results Clustering. 2 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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