Pedro DeRose

490 total citations
10 papers, 314 citations indexed

About

Pedro DeRose is a scholar working on Information Systems, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Pedro DeRose has authored 10 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 6 papers in Computer Networks and Communications and 6 papers in Management Science and Operations Research. Recurrent topics in Pedro DeRose's work include Web Data Mining and Analysis (7 papers), Data Quality and Management (6 papers) and Advanced Database Systems and Queries (5 papers). Pedro DeRose is often cited by papers focused on Web Data Mining and Analysis (7 papers), Data Quality and Management (6 papers) and Advanced Database Systems and Queries (5 papers). Pedro DeRose collaborates with scholars based in United States, United Kingdom and Spain. Pedro DeRose's co-authors include Warren Shen, Raghu Ramakrishnan, AnHai Doan, Robert McCann, Fei Chen, Fei Chen, Xiaoyong Chai, Byron J. Gao, Fei Chen and Mayssam Sayyadian and has published in prestigious journals such as ACM SIGMOD Record, Very Large Data Bases and Conference on Innovative Data Systems Research.

In The Last Decade

Pedro DeRose

10 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pedro DeRose United States	9	187	169	141	116	56	10	314
Robert McCann United States	10	184 1.0×	232 1.4×	178 1.3×	132 1.1×	64 1.1×	17	390
Shirley Cohen United States	4	158 0.8×	116 0.7×	156 1.1×	99 0.9×	44 0.8×	5	263
Alpa Jain United States	12	215 1.1×	337 2.0×	62 0.4×	91 0.8×	58 1.0×	21	441
Sebastian Dietzold Germany	4	134 0.7×	179 1.1×	90 0.6×	57 0.5×	17 0.3×	6	217
Costantino Thanos Italy	9	109 0.6×	152 0.9×	87 0.6×	31 0.3×	53 0.9×	33	291
Mayssam Sayyadian United States	7	141 0.8×	173 1.0×	151 1.1×	101 0.9×	76 1.4×	8	275
Sheila Kinsella Ireland	5	131 0.7×	170 1.0×	45 0.3×	55 0.5×	76 1.4×	9	329
Chen-Chuan K. Chang United States	9	246 1.3×	201 1.2×	241 1.7×	30 0.3×	110 2.0×	14	412
Paul‐Alexandru Chirita Germany	7	354 1.9×	242 1.4×	133 0.9×	55 0.5×	31 0.6×	12	429
You Wu United States	10	127 0.7×	243 1.4×	37 0.3×	89 0.8×	67 1.2×	25	354

Countries citing papers authored by Pedro DeRose

Since Specialization

Citations

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

Fields of papers citing papers by Pedro DeRose

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro DeRose

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

All Works

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10 of 10 papers shown

Doan, AnHai, Jeffrey F. Naughton, Xiaoyong Chai, et al.. (2009). The Case for a Structured Approach to Managing Unstructured Data.. Conference on Innovative Data Systems Research. 10 indexed citations

Bohannon, Philip, Srujana Merugu, Cong Yu, et al.. (2009). Purple SOX extraction management system. ACM SIGMOD Record. 37(4). 21–27. 18 indexed citations

Doan, AnHai, Jeffrey F. Naughton, Raghu Ramakrishnan, et al.. (2009). Information extraction challenges in managing unstructured data. ACM SIGMOD Record. 37(4). 14–20. 47 indexed citations

Shen, Warren, Pedro DeRose, Robert McCann, AnHai Doan, & Raghu Ramakrishnan. (2008). Toward best-effort information extraction. 1031–1042. 27 indexed citations

DeRose, Pedro, Xiaoyong Chai, Byron J. Gao, et al.. (2008). Building Community Wikipedias: A Machine-Human Partnership Approach. 29. 646–655. 18 indexed citations

DeRose, Pedro, Warren Shen, Fei Chen, AnHai Doan, & Raghu Ramakrishnan. (2007). Building structured web community portals: a top-down, compositional, and incremental approach. Very Large Data Bases. 399–410. 52 indexed citations

Doan, AnHai, Philip Bohannon, Raghu Ramakrishnan, et al.. (2007). User-Centric Research Challenges in Community Information Management Systems.. IEEE Data(base) Engineering Bulletin. 30. 32–40. 6 indexed citations

DeRose, Pedro, Warren Shen, Fei Chen, et al.. (2007). DBLife: A Community Information Management Platform for the Database Research Community (Demonstration). Conference on Innovative Data Systems Research. 169–172. 54 indexed citations

Shen, Warren, Pedro DeRose, Long Vu, AnHai Doan, & Raghu Ramakrishnan. (2007). Source-aware Entity Matching: A Compositional Approach. 29. 196–205. 19 indexed citations

10.

Doan, AnHai, Raghu Ramakrishnan, Fei Chen, et al.. (2006). Community Information Management.. IEEE Data(base) Engineering Bulletin. 29. 64–72. 63 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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