Nitin Jindal

4.3k total citations · 2 hit papers
11 papers, 2.8k citations indexed

About

Nitin Jindal is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Nitin Jindal has authored 11 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Nitin Jindal's work include Sentiment Analysis and Opinion Mining (7 papers), Spam and Phishing Detection (6 papers) and Text and Document Classification Technologies (4 papers). Nitin Jindal is often cited by papers focused on Sentiment Analysis and Opinion Mining (7 papers), Spam and Phishing Detection (6 papers) and Text and Document Classification Technologies (4 papers). Nitin Jindal collaborates with scholars based in United States, Singapore and Austria. Nitin Jindal's co-authors include Bing Liu, Bing Liu, Ee‐Peng Lim, Hady W. Lauw, Viet-An Nguyen, Arjun Mukherjee, Junhui Wang, Natalie Glance, Lucas Paletta and Christin Seifert and has published in prestigious journals such as Data Archiving and Networked Services (DANS) and National Conference on Artificial Intelligence.

In The Last Decade

Nitin Jindal

11 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Opinion spam and analysis

2008 973 citations Nitin Jindal, Bing Liu profile →
Detecting product review spammers using rating behaviors

2010 472 citations Ee‐Peng Lim, Viet-An Nguyen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nitin Jindal United States	10	2.1k	2.0k	791	494	442	11	2.8k
Ana-Maria Popescu United States	16	3.3k 1.6×	1.3k 0.7×	371 0.5×	311 0.6×	204 0.5×	32	3.9k
Hady W. Lauw Singapore	23	1.2k 0.6×	1.2k 0.6×	391 0.5×	235 0.5×	197 0.4×	105	2.0k
Cai-Nicolas Ziegler Germany	13	922 0.4×	1.6k 0.8×	549 0.7×	396 0.8×	191 0.4×	22	2.2k
Alexandros Ntoulas United States	15	836 0.4×	1.1k 0.5×	249 0.3×	466 0.9×	254 0.6×	35	1.6k
Sihong Xie United States	13	824 0.4×	811 0.4×	306 0.4×	271 0.5×	176 0.4×	59	1.3k
Barbara Carminati Italy	22	1.2k 0.6×	886 0.4×	980 1.2×	583 1.2×	122 0.3×	125	2.0k
David Carmel Israel	29	1.8k 0.9×	2.0k 1.0×	176 0.2×	656 1.3×	618 1.4×	101	3.1k
Yücel Saygın Türkiye	22	2.1k 1.0×	670 0.3×	536 0.7×	170 0.3×	220 0.5×	86	2.5k
Marinella Petrocchi Italy	17	651 0.3×	851 0.4×	658 0.8×	377 0.8×	408 0.9×	73	1.4k

Countries citing papers authored by Nitin Jindal

Since Specialization

Citations

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

Fields of papers citing papers by Nitin Jindal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitin Jindal

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

11 of 11 papers shown

1.

Jiang, Jyun‐Yu, Tao Wu, Georgios Roumpos, et al.. (2020). End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms. 2870–2877. 4 indexed citations

2.

Mukherjee, Arjun, Bing Liu, Junhui Wang, Natalie Glance, & Nitin Jindal. (2011). Detecting group review spam. 93–94. 147 indexed citations

3.

Jindal, Nitin, Bing Liu, & Ee‐Peng Lim. (2010). Finding unusual review patterns using unexpected rules. 1549–1552. 220 indexed citations

4.

Jindal, Nitin & Bing Liu. (2010). A Generalized Tree Matching Algorithm Considering Nested Lists for Web Data Extraction. 930–941. 10 indexed citations

5.

Lim, Ee‐Peng, Viet-An Nguyen, Nitin Jindal, Bing Liu, & Hady W. Lauw. (2010). Detecting product review spammers using rating behaviors. 939–948. 472 indexed citations breakdown →

6.

Jindal, Nitin & Bing Liu. (2008). Opinion spam and analysis. 219–219. 973 indexed citations breakdown →

7.

Ali, Haider, Christin Seifert, Nitin Jindal, Lucas Paletta, & Gerhard Paar. (2007). Window Detection in Facades. Data Archiving and Networked Services (DANS). 837–842. 32 indexed citations

8.

Jindal, Nitin & Bing Liu. (2007). Analyzing and Detecting Review Spam. 547–552. 155 indexed citations

9.

Jindal, Nitin & Bing Liu. (2007). Review spam detection. 1189–1190. 288 indexed citations

10.

Jindal, Nitin & Bing Liu. (2006). Mining comparative sentences and relations. National Conference on Artificial Intelligence. 1331–1336. 216 indexed citations

11.

Jindal, Nitin & Bing Liu. (2006). Identifying comparative sentences in text documents. 244–251. 264 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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