Haejung Paik

914 total citations · 1 hit paper
8 papers, 603 citations indexed

About

Haejung Paik is a scholar working on Education, Literature and Literary Theory and Artificial Intelligence. According to data from OpenAlex, Haejung Paik has authored 8 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Education, 2 papers in Literature and Literary Theory and 2 papers in Artificial Intelligence. Recurrent topics in Haejung Paik's work include Neural Networks and Applications (2 papers), Media Influence and Health (2 papers) and Advanced Statistical Methods and Models (1 paper). Haejung Paik is often cited by papers focused on Neural Networks and Applications (2 papers), Media Influence and Health (2 papers) and Advanced Statistical Methods and Models (1 paper). Haejung Paik collaborates with scholars based in United States. Haejung Paik's co-authors include George Comstock and Caren Marzban and has published in prestigious journals such as Communication Research, Human Communication Research and Sociological Methods & Research.

In The Last Decade

Haejung Paik

8 papers receiving 491 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.

The Effects of Television Violence on Antisocial Behavior: A Meta-Analysis1

1994 559 citations Haejung Paik, George Comstock Communication Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haejung Paik United States	5	292	275	233	229	113	8	603
Jessica D. Zurcher United States	8	95 0.3×	403 1.5×	63 0.3×	221 1.0×	63 0.6×	16	558
David Wallace United States	12	118 0.4×	106 0.4×	90 0.4×	122 0.5×	133 1.2×	35	509
Aimee E. Miller‐Ott United States	13	191 0.7×	315 1.1×	71 0.3×	78 0.3×	28 0.2×	25	484
Eugenia Y. Peck United States	8	163 0.6×	327 1.2×	350 1.5×	28 0.1×	44 0.4×	16	719
Mark Callister United States	12	81 0.3×	111 0.4×	97 0.4×	55 0.2×	130 1.2×	25	407
Julia R. Lippman United States	11	95 0.3×	294 1.1×	78 0.3×	105 0.5×	480 4.2×	12	727
Jamie Comstock United States	9	398 1.4×	204 0.7×	38 0.2×	82 0.4×	43 0.4×	15	522
Jana Hackathorn United States	14	182 0.6×	188 0.7×	43 0.2×	100 0.4×	91 0.8×	31	521
Lorraine Bouthilet	3	119 0.4×	187 0.7×	254 1.1×	168 0.7×	135 1.2×	3	511
Alyssa Saiphoo Canada	5	45 0.2×	446 1.6×	102 0.4×	125 0.5×	44 0.4×	9	678

Countries citing papers authored by Haejung Paik

Since Specialization

Citations

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

Fields of papers citing papers by Haejung Paik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haejung Paik

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

8 of 8 papers shown

1.

Paik, Haejung, et al.. (2003). Comparison of Surgical Results Between Bilateral Recession and Unilateral Resection-Recession in Intermittent Exotropia. Journal of the Korean Ophthalmological Society. 44(4). 911–916. 12 indexed citations

2.

Paik, Haejung. (2000). Television Viewing and High School Mathematics Achievement: A Neural Network Analysis. Quality & Quantity. 34(1). 1–15. 7 indexed citations

3.

Paik, Haejung. (2000). Comments on Neural Networks. Sociological Methods & Research. 28(4). 425–453. 3 indexed citations

4.

Paik, Haejung. (1998). The Effect of Prior Probability on Skill in Two-Group Discriminant Analysis. Quality & Quantity. 32(2). 201–211. 2 indexed citations

5.

Paik, Haejung & Caren Marzban. (1995). Predicting Television Extreme Viewers and Non-viewers A Neural Network Analysis. Human Communication Research. 22(2). 284–306. 8 indexed citations

6.

Paik, Haejung. (1995). Television Viewing and Mathematics Achievement.. 2 indexed citations

7.

Paik, Haejung & George Comstock. (1994). The Effects of Television Violence on Antisocial Behavior: A Meta-Analysis1. Communication Research. 21(4). 516–546. 559 indexed citations breakdown →

8.

Comstock, George & Haejung Paik. (1987). Television and Children: A Review of Recent Research.. 10 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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